LazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated). Bring your own LLM: any OpenAI-compatible or Anthropic key, stays in your browser. Also ships an MCP server (101 permission-scoped tools).
lazychat-erpnext is a Claude Code agent skill that lazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated). Bring your own LLM: any OpenAI-compatible or Anthropic key, stays in your browser. Also ships an MCP server (101 permission-scoped tools).
npx skills add soumyasethy/lazychat-erpnextInstalled? Explore more 研究＆データ分析 skills: obra/superpowers, affaan-m/quarkus-verification, affaan-m/uspto-database · View all 6 →
LazyChat — an AI assistant docked inside your ERPNext desk. Chat with your data, draft reports, stage edits (Apply-gated). Bring your own LLM: any OpenAI-compatible or Anthropic key, stays in your browser. Also ships an MCP server (101 permission-scoped tools).
Source: https://github.com/soumyasethy/lazychat-erpnext
Discovered during the daily awesomeskills.dev agent-skill hunt.
Agent skill repository discovered by 10x-chat research.
Verification loop for Quarkus projects: build, static analysis, tests with coverage, security scans, native compilation, and diff review before release or PR.
USPTO patent and trademark data workflow for official record lookup, PatentSearch queries, TSDR checks, assignment data, and reproducible IP research logs.
Structured scholarly-work evaluation for papers, proposals, literature reviews, methods sections, evidence quality, citation support, and research-writing feedback.
Systematic literature-review workflow for academic, biomedical, technical, and scientific topics, including search planning, source screening, synthesis, citation checks, and evidence logging.
Evidence-first current-state research workflow for ECC. Use when the user wants fresh facts, comparisons, enrichment, or a recommendation built from current public evidence and any supplied local context.